Door Lock System Research Articles

Reliability Assessment and Improvement for Aircraft Lock Mechanism with Multiple Failure Modes

In an aircraft, the lock mechanism is one of the important components of the landing gear door lock system, whose working performance affects the aircraft flight performance directly. This research focuses on reliability assessment and reliability improvement of the locking process of an aircraft lock mechanism. First, according to the motion principle of the aircraft lock mechanism, a simulation model of the locking process is built by LMS Virtual.Lab simulation platform. Then, two performance functions of the two critical failure modes of the locking process about maximum locking resistance and required time are established, respectively. Subsequently, Kriging model and importance sampling method are combined to evaluate the reliability of the locking process. Finally, the reliability sensitivity is analyzed to identify critical variables which influence the reliability. Three cases are analyzed by adjusting the parameters of the two most critical variables, and the results show that the system reliability and the reliability of each failure mode are improved during the locking process of the aircraft lock mechanism.

Password Based Door Lock System

The want of protection may be accomplished through making locks which may be electric or mechanical with one or a few keys, however for locking a large region many locks are required. As every body is aware of old style locks are heavy weight and fragile additionally relying at the tools consequently digital locks are given greater cost than those of mechanical locks. Nowadays each device’s operation is primarily based totally on virtual era. For example, era primarily based totally identification gadgets are used for computerized door unlocking or locking. These locking structures are used to manage the motion of door and are useful without requiring a key to fasten or release the door. These locking structures are managed through a keypad and are hooked up at the aspect hedge of the door. The fundamental goal of this assignment is to present protection at each not unusualplace locations like home, public locations. In this consumer might supply a recognised password. The statistics could be saved in database. When the correct passcode could be entered, the microcontroller will supply practise to servo motor. Servo motor will carry out the movement on door unlocking. Thus, what we need is virtual era to assemble an incorporated and nicely customized protection device at a fee that's reasonable.

Arduino Based Security and Safety Utilities

This paper reports two low cost, low weight, and efficient security and safe utilities using Arduino. The first one is a Fingerprint door lock system. The Arduino-based Door Access System is designed to address the problems with existing systems in terms of their upgrades and maintenance. A Fingerprint scanner is an input and the output, on the other hand, is a magnetic Solenoid lock. As when an authorized person puts his/her finger on the fingerprint sensor the door will only open for that authorized person whose fingerprint is matched with the stored fingerprint. The second system is a radical system for monitoring fish plates with help of relays and real-time signaling by detecting plate removal. The proposed system records the trains on an equivalent track using the IR module. IR module interfaced with an ARDUINO board reads the geographical coordinates of the train’s position in order that the trains are often halted by applying emergency brakes and sending signals to both the train brake and control rooms.

Construction of Password Based Security Door-Lock System Using Arduino

Construction of Password Based Security Door-Lock System Using Arduino

Automatic Door Lock System by Face Recognition

In this paper we have proposed face recognition door lock system using raspberry pi for security purpose. Implementation of the system is for monitoring whether any unknown person is entering in to the door. We have established communication with electronic devices through face detection with the help of Pi camera Raspberry Pi platform. For software coding Python and Open CV libraries are used. In order to get accurate and clear picture of an intruder we have proposed Haar classifier method for face detection. As soon as the person enters near the door, pi camera captures the image and face detection process is done then if it matches with database images then the door is unlocked otherwise a message with the picture of a person will be sent to the registered mobile through GSM and LAN network.

Wireless IoT Smart Door Lock Using Viola-Jones Face Detection Technique

Technology in Industrial revolution 4.0 has rapidly changed with the advancement technology developments, including the technology of Internet of Things (IoT). With IoT, different types of data either structured or unstructured can be collected and transferred over the Internet that attracted researchers to conduct various empirical studies on automation of home security environment mainly with intelligence system. This project highlights a face detection of smart door lock system based on Viola-Jones technique. The fundamental system design, implementation of hardware and software as well as the data collection and processing techniques are described in this paper. The prototype of the wireless IoT Smart Door Lock based on Viola-Jones face detection technique has been tested and the accuracy of classification at different face angles (front, left, right, top, down) were recorded and also presented in this paper. The results show that Viola- Jones algorithm has achieved 88% of average accuracy on the complete faces classification.

Intelligent RFID biometric enabled dual security lock in the banking environment

This paper describes an expert RFID biometric enabled dual system architecture which acts as a smart and digitized banking vault door locking system. The proposed system is novel, multipurpose and provides three levels of security. It is based on locker automation using RFID technology and software Android App technology that allows access only to the authorized owner of the bank vault to open it. Despite the legacy key system, the overall control of electronic smart door lock system utilizes the RFID tags via NFC, biometric traits via web portal and mobiles via Bluetooth as the procedure for authentication. Our proposed RFID technology-based access control authentication mechanism utilizes low cost irrevertible functions to control the vulnerable security attacks. Furthermore, the proposed lock system has a tag’s identification search complexity of only $${\mathcal {O}}(1)$$ .

Intelligent Door Lock System

The intelligent door lock system supercharged by Amazon net Services. The objective of our project is to enhance security in official and residential places by automation and ease-of-access. A guest once he reaches the door step and press the bell button, greets the visitant by his/her specific identity, apprize the landlord concerning the visitor and associate in nursing keep in mind an unknown visitor. That place landlord will identify the identity of visitor by call on - "Alexa, who is at the door?" and Alexa will obey the instruction given by the owner. We propose to design a custom Alexa skill which helps in identifying the visitors and navigate him/her inside the place or home without moving anywhere. Security is important concern in today's world. In these days’ homes are primarily equipped with a minimum of one Virtual help Devices like Alexa, Google Assistant etc. that everybody uses it all the time.

A Fast AES Hardware Security Module for Internet of Things Applications

As the Internet of Things is used in various fields, Internet of Things security has become important. Since most Internet of Things devices is implemented as embedded systems, they provide a software-implemented encryption algorithm. Most embedded systems use relatively low-performance CPUs and the software processes data serially, making it difficult to process complex security algorithms in real-time. Therefore, it is necessary to have a stable encryption module with less impact on system performance. In this paper, we designed an AES hardware security module. Because it is implemented with dedicated hardware, it can process a strong encryption algorithm in real time without affecting the performance of the system. The proposed AES hardware module is designed using Verilog-HDL, tested in ModelSim and implemented in Altera FPGA Cycloneâ…£. The designed AES hardware adopts parallel processing technique and pipeline structure considering the computational complexity and processing order of the algorithm. As a result, it is faster than AES modules implemented in software. In addition, its latency was reduced to about 280 ns, which is about 16 % of the latency of the previous AES hardware module. Not only did the performance improve, but the number of logic elements and registers also decreased to 83.6% and 92.8%, respectively. The proposed AES hardware module is verified by applying it to a door lock system and is expected to be applied to various Internet of Things devices.

Chlad Apock-Iot Based Security Lock Safety at Your Hands

In today’s hectic schedule, it is obvious to forget to lock the doors or off the lights and then check for it frequently. Obsessive Compulsive Disorder(OCD) is an anxiety disorder in which some people have recurring ,unwanted thoughts, ideas or sensations that make them feel driven to do something repetitively .OCD can make it difficult for the people to perform everyday activities. This paper is all about modernising the conventional door lock and smart lighting system in order to help people. The product is solution to several difficulties faced by people experiencing .Here we use a leading edge technology namely mobile application for checking the status of door and light. The uniqueness of this product relies on the fact that using new technologies along with old ones will result in an agile and more dynamic system. Furthermore, the biggest advantage of the proposed system over existing ones is that it can be easily installed with minimal requirement of infrastructures and planning.

Intelligent Door Lock System with Face Recognition

Intelligent Door Lock System with Face Recognition

Design and Implementation of Cloud Native Door Lock System

Design and Implementation of Cloud Native Door Lock System

Smart Door Monitoring and Locking System using SIM900 GSM Shield and Arduino UNO

Smart Door Monitoring and Locking System using SIM900 GSM Shield and Arduino UNO - written by Sialee Leekongxue , Li Li , Tomas Page published on 2020/04/07 download full article with reference data and citations

Secure Smart Door Lock System based on Arduino and Smartphone App

Secure Smart Door Lock System based on Arduino and Smartphone App

Android based Smart Door Locking System

Android based Smart Door Locking System

Online Home Appliance Control Using EEG-Based Brain–Computer Interfaces

Brain–computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend the horizon of BCI applications into daily living environments at home. In this study, we developed an online BCI based on scalp electroencephalography (EEG) to control home appliances. The BCI users controlled TV channels, a digital door-lock system, and an electric light system in an unshielded environment. The BCI was designed to harness P300 and N200 components of event-related potentials (ERPs). On average, the BCI users could control TV channels with an accuracy of 83.0% ± 17.9%, the digital door-lock with 78.7% ± 16.2% accuracy, and the light with 80.0% ± 15.6% accuracy, respectively. Our study demonstrates a feasibility to control multiple home appliances using EEG-based BCIs.

Development of a Secured Door Lock System Based on Face Recognition using Raspberry Pi and GSM Module

Development of a Secured Door Lock System Based on Face Recognition using Raspberry Pi and GSM Module

Revealing household characteristics using connected home products

Recent technological advances have helped make our homes more intelligent and responsive to our needs. In this context, analyzing data from smart home products to gain insights is becoming increasingly important. This paper proposes an analytical framework to reveal the characteristics of households using event logs from smart door lock systems. The analytical framework uses constraint satisfaction problems to enable streaming event log analysis to solve the problems of overlapping classes and a lack of information concerning the truth class. The proposed method was applied to two datasets: one consisting of door-lock log data from 40 households and the other of time-use survey data from more than 10,000 households in South Korea. The results verify its effectiveness in terms of estimating the number of occupants in a household. The performance of the proposed method was compared with that of a naïve clustering approach in terms of mean squared error.

Door Security System for Home Monitoring Based on ESP32

Door plays an important role in home security. To secure the house, the occupants of the house will always have the door locked. However, sometimes the house occupants forget to lock the door due to hurry when leaving the house, or they may doubt whether they have locked the door or not. We propose an application called Door Security System which is based on Android using Internet of Things (IoT) technology to monitor the status of the door, controlling the door and increasing security in a house. MQTT cloud is utilized as the communication protocol between smartphone and door lock system. PIR sensor is implemented in the door lock to detect the movement near the door, while touch sensor is installed on the door handle to recognize the human hand. Should the door is opened by force, the alarm will ring and send notification to alert the house occupant on the existence of intruder in the house. The evaluation results show that motion detection sensor can detect movement accurately up to 1,6 meters ahead, and messages published between smartphone and door lock are encrypted properly so messages are safely sent.

IoT-Enabled Door Lock System

This paper covers the design of a prototype for IoT and GPS enabled door lock system. The aim of this research is to design a door lock system that does not need manual input from user for convenience purpose while also remaining secure. The system primarily consists STM32L100 microcontroller as its core, TIP102 transistor that controls 12 VDC solenoid, and Xbee module to communicate with the smart home’s host and receive status regarding user’s GPS position. The system is tested by measuring the user’s distance from the predetermined location using GPS coordinate captured by an Android application, which serves to test whether the system is able to operate as intended and measure the device’s power usage. The test result shows that the device is able to work based on GPS coordinate data received, using 42.3 mA and 587 mA current in idle and active modes, respectively.